Hospital admission of cancer patients: avoidable practice or necessary care?
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ABSTRACT:
SUBMITTER: Numico G
PROVIDER: S-EPMC4374858 | biostudies-other | 2015
REPOSITORIES: biostudies-other
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Project description:ObjectiveTo investigate the associations between incipient dementia (ID) and hospitalization for ambulatory care sensitive conditions (ACSCs) among people with osteoarthritis (OA) of the peripheral joints.MethodsAmong individuals aged 51-99 years residing in Skåne, Sweden, in 2009, we identified those with a doctor-diagnosed OA and no dementia during 1998-2009 (n = 57,733). Treating ID as a time-varying exposure, we followed people from January 1, 2010 or their 60th birthday (whichever occurred last) until hospitalization for ACSCs, death, 100th birthday, relocation outside Skåne, or December 31, 2019 (whichever occurred first). Using age as time scale, we applied flexible parametric survival models, adjusted for confounders, to assess the associations between ID and hospitalization for ACSCs.ResultsThere were 58 and 33 hospitalizations for ACSCs per 1000 person-years among OA people with and without ID, respectively. The association between ID and hospitalization for any ACSCs was age-dependent with higher risk in ages<86 years and lower risks in older ages. Between ages 60 and 100 years, persons with ID had, on average, 5.8 (95% CI 0.9, 10.7), 1.6 (-2.6, 5.9) and 3.1 (2.3, 4.0) fewer hospital-free years for any, chronic and acute ACSCs, respectively, compared with persons without ID.ConclusionsAmong persons with OA, while ID was associated with increased risks of hospitalization for ACSCs in younger ages, it was associated with decreased risk in oldest ages. These results suggest the need for improvement in quality of ambulatory care including the continuity of care for people with OA having dementia.
| S-EPMC9926213 | biostudies-literature
Project description:OBJECTIVES AND SETTING:Conflicting results from studies using electronic health records to evaluate the associations between type 2 diabetes and cancer fuel concerns regarding potential biases. This study aimed to describe completeness of cancer recording in UK primary care data linked to hospital admissions records. DESIGN:Patients aged 40+ years with insulin or oral antidiabetic prescriptions in Clinical Practice Research Datalink (CPRD) primary care without type 1 diabetes were matched by age, sex and general practitioner practice to non-diabetics. Those eligible for linkage to Hospital Episode Statistics Admitted Patient Care (HES APC), and with follow-up during April 1997-December 2006 were included. PRIMARY AND SECONDARY OUTCOME MEASURES:Cancer recording and date of first record of cancer were compared. Characteristics of patients with cancer most likely to have the diagnosis recorded only in a single data source were assessed. Relative rates of cancer estimated from the two datasets were compared. PARTICIPANTS:53 585 patients with type 2 diabetes matched to 47 435 patients without diabetes were included. RESULTS:Of all cancers (excluding non-melanoma skin cancer) recorded in CPRD, 83% were recorded in HES APC. 94% of cases in HES APC were recorded in CPRD. Concordance was lower when restricted to same-site cancer records, and was negatively associated with increasing age. Relative rates for cancer were similar in both datasets. CONCLUSIONS:Good concordance in cancer recording was found between CPRD and HES APC among type 2 diabetics and matched controls. Linked data may reduce misclassification and increase case ascertainment when analysis focuses on site-specific cancers.
| S-EPMC5988054 | biostudies-literature
Project description:The treatment for patients with acute myocardial infarction (AMI) was transformed by the introduction of intensive care units (ICUs), yet we know little about how contemporary hospitals use this resource-intensive setting and whether higher use is associated with better outcomes.We identified 114,136 adult hospitalizations for AMI from 307 hospitals in the 2009 to 2010 Premier database using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. Hospitals were stratified into quartiles by rates of ICU admission for AMI patients. Across quartiles, we examined in-hospital risk-standardized mortality rates and usage rates of critical care therapies for these patients.Rates of ICU admission for AMI patients varied markedly among hospitals (median 48%, Q1-Q4 20%-71%, range 0%-98%), and there was no association with in-hospital risk-standardized mortality rates (6% all quartiles, P = .7). However, hospitals admitting more AMI patients to the ICU were more likely to use critical care therapies overall (mechanical ventilation [from Q1 with lowest rate of ICU use to Q4 with highest rate 13%-16%], vasopressors/inotropes [17%-21%], intra-aortic balloon pumps [4%-7%], and pulmonary artery catheters [4%-5%]; P for trend < .05 in all comparisons).Rates of ICU admission for patients with AMI vary substantially across hospitals and were not associated with differences in mortality, but were associated with greater use of critical care therapies. These findings suggest uncertainty about the appropriate use of this resource-intensive setting and a need to optimize ICU triage for patients who will truly benefit.
| S-EPMC5459386 | biostudies-other
Project description:The aim of this study was to obtain insight into which proportion of cancer patients is admitted to an Intensive Care Unit (ICU) and how their survival, demographic, and clinical characteristics relate to cancer patients not admitted to the ICU. Data from patients registered with cancer between 2006 and 2011 in four hospitals in the Netherlands were linked to the Dutch National Intensive Care Evaluation registry. About 36,860 patients with cancer were identified, of whom 2,374 (6.4%) were admitted to the ICU. Fifty-six percent of ICU admissions were after surgery, whereas 44% were for medical reasons. The risk for ICU admission was highest among cancer patients treated with surgery either alone or combined with chemotherapy and/or radiation therapy. Only 80 of 1,073 medical ICU admissions (3.3%) were for cancer-specific reasons. Although more women (54.0%) than men were registered with cancer, the proportion of male cancer patients admitted to an ICU was much higher (9.3 vs. 4.0%, P < 0.001). Five-year survival of cancer patients admitted to the ICU was substantial (41%) although median survival was much lower (1,104 days) than in patients not admitted to the ICU (median survival time not reached, P < 0.001). These results show that one out of 16 cancer patients was admitted to an ICU and that ICU support for this group should not be considered futile.
| S-EPMC4529335 | biostudies-literature
Project description:BackgroundPhysician turnover, involving physicians' leaving clinical practice in a specific area, may disrupt continuity of care, leading to poorer health outcomes and greater use of health care services. The purpose of this study was to investigate the relation between family physician retention and avoidable hospital admission for ambulatory-care-sensitive conditions.MethodsWe conducted a population-based cross-sectional study using provincial health administrative data for residents of Newfoundland and Labrador who held a provincial health card between 2001 and 2009. Five-year family physician retention was calculated by regional economic zone, and residents within economic zones were grouped into tertiles based on physician retention level. We compared hospital admission for ambulatory-care-sensitive conditions among tertiles while adjusting for covariates.ResultsFor 475?691 residents of the province, there was a negative relation between physician retention and hospital admission for ambulatory-care-sensitive conditions: residents of areas with moderate or low physician retention had admission rates that were 16.5% (95% confidence interval [CI) 12.6%-20.4%) and 19.9% (95% CI 15.2%-24.7%) higher, respectively, compared to areas with high retention. No relation was found when analysis was limited to those aged 65 years or more.InterpretationThe findings suggest that high physician retention is associated with lower rates of hospital admission for ambulatory-care-sensitive conditions even after control for other factors. This is consistent with our hypothesis that physician turnover acts to disrupt continuity of care, resulting in higher admission rates.
| S-EPMC5741431 | biostudies-literature
Project description:Variation in the use of ICUs for low-risk conditions contributes to health system inefficiency. We sought to examine the relationship between ICU use for patients with pulmonary embolism (PE) and cost, mortality, readmission, and procedure use.We performed a retrospective cohort study including 61,249 adults with PE discharged from 263 hospitals in three states between 2007 and 2010. We generated hospital-specific ICU admission rate quartiles and used a series of multilevel models to evaluate relationships between admission rates and risk-adjusted in-hospital mortality, readmission, and costs and between ICU admission rates and several critical care procedures.Hospital quartiles varied in unadjusted ICU admission rates for PE (range, ≤ 15% to > 31%). Among all patients, there was a small trend toward increased use of arterial catheterization (0.6%-1.1%, P < .01) in hospital quartiles with higher levels of ICU admission. However, use of invasive mechanical ventilation (14.4%-7.9%, P < .01), noninvasive ventilation (6.6%-3.0%, P < .01), central venous catheterization (14.6%-11.3%, P < .02), and thrombolytics (11.0%-4.7%, P < .01) in patients in the ICU declined across hospital quartiles. There was no relationship between ICU admission rate and risk-adjusted hospital mortality, costs, or readmission.Hospitals vary widely in ICU admission rates for acute PE without a detectable impact on mortality, cost, or readmission. Patients admitted to ICUs in higher-using hospitals received many critical care procedures less often, suggesting that these patients may have had weaker indications for ICU admission. Hospitals with greater ICU admission may be appropriate targets for improving efficiency in ICU admissions.
| S-EPMC4251611 | biostudies-other
Project description:ObjectiveTo develop and validate a prediction model of avoidable hospital events among Medicare fee-for-service (FFS) beneficiaries in Maryland.Data sourcesMedicare FFS claims from Maryland from 2017 to 2020 and other publicly available ZIP code-level data sets.Study designMultivariable logistic regression models were used to estimate the relationship between a variety of risk factors and future avoidable hospital events. The predictive power of the resulting risk scores was gauged using a concentration curve.Data collection/extraction methodsOne hundred and ninety-eight individual- and ZIP code-level risk factors were used to create an analytic person-month data set of over 11.6 million person-month observations.Principal findingsWe included 198 risk factors for the model based on the results of a targeted literature review, both at the individual and neighborhood levels. These risk factors span six domains as follows: diagnoses, pharmacy utilization, procedure history, prior utilization, social determinants of health, and demographic information. Feature selection retained 73 highly statistically significant risk factors (p < 0.0012) in the primary model. Risk scores were estimated for each individual in the cohort, and, for scores released in April 2020, the top 10% riskiest individuals in the cohort account for 48.7% of avoidable hospital events in the following month. These scores significantly outperform the Centers for Medicare & Medicaid Services hierarchical condition category risk scores in terms of predictive power.ConclusionsA risk prediction model based on standard administrative claims data can identify individuals at risk of incurring a future avoidable hospital event with good accuracy.
| S-EPMC8763284 | biostudies-literature
Project description:BackgroundThe optimal level of care for hemodynamically stable patients with isolated blunt hepatic, renal, or splenic injuries (solid organ injuries [SOIs]) is unknown. We sought to characterize interhospital variability in intensive care unit (ICU) admission of such patients and to determine whether greater hospital-level ICU use would be associated with improved outcomes.MethodsWe conducted a retrospective cohort study using the 2015 and 2016 National Trauma Data Bank. We included adult patients with blunt trauma with SOIs with an Abbreviated Injury Scale score of 2 to 4. We excluded patients with other significant injuries, hypotension, or another indication for ICU admission, and hospitals with less than 10 eligible patients. We categorized hospitals into quartiles based on the proportion of eligible patients admitted to an ICU. The primary outcome was a composite of organ failure (cardiac arrest, acute lung injury/acute respiratory failure, or acute kidney injury), infection (sepsis, pneumonia, or catheter-related blood stream infection), or death during hospitalization.ResultsAmong 14,312 patients at 444 facilities, 7,225 (50%), 5,050 (35%), and 3,499 (24%) had splenic, hepatic, and renal injuries, respectively. The median proportion of ICU use was 44% (interquartile range, 27-59%, range 0-95%). The composite outcome occurred in 180 patients (1.3%), with death in 76 (0.5%), organ failure in 97 (0.7%), and infection in 53 (0.4%). Relative to hospitals with the lowest ICU use (quartile 1), greater hospital-level ICU use was not associated with decreased likelihood of the composite outcome (adjusted odds ratios, 1.31; 95% confidence interval [95% CI], 0.88-1.95; 0.81; 95% CI, 0.52-1.26; and 0.94; 95% CI, 0.62-1.43 for quartiles 2-4, respectively) or its components. Unplanned ICU transfer was no more likely with lower hospital-level ICU use.ConclusionAdmission location of stable patients with isolated mild to moderate abdominal SOIs is variable across hospitals, but hospitalization at a facility with greater ICU use is not associated with substantially improved outcomes.Level of evidenceTherapeutic/care management, Level IV.
| S-EPMC7799854 | biostudies-literature
Project description:ObjectiveTo develop prediction models for intensive care unit (ICU) vs non-ICU level-of-care need within 24 hours of inpatient admission for emergency department (ED) patients using electronic health record data.Materials and methodsUsing records of 41 654 ED visits to a tertiary academic center from 2015 to 2019, we tested 4 algorithms-feed-forward neural networks, regularized regression, random forests, and gradient-boosted trees-to predict ICU vs non-ICU level-of-care within 24 hours and at the 24th hour following admission. Simple-feature models included patient demographics, Emergency Severity Index (ESI), and vital sign summary. Complex-feature models added all vital signs, lab results, and counts of diagnosis, imaging, procedures, medications, and lab orders.ResultsThe best-performing model, a gradient-boosted tree using a full feature set, achieved an AUROC of 0.88 (95%CI: 0.87-0.89) and AUPRC of 0.65 (95%CI: 0.63-0.68) for predicting ICU care need within 24 hours of admission. The logistic regression model using ESI achieved an AUROC of 0.67 (95%CI: 0.65-0.70) and AUPRC of 0.37 (95%CI: 0.35-0.40). Using a discrimination threshold, such as 0.6, the positive predictive value, negative predictive value, sensitivity, and specificity were 85%, 89%, 30%, and 99%, respectively. Vital signs were the most important predictors.Discussion and conclusionsUndertriaging admitted ED patients who subsequently require ICU care is common and associated with poorer outcomes. Machine learning models using readily available electronic health record data predict subsequent need for ICU admission with good discrimination, substantially better than the benchmarking ESI system. The results could be used in a multitiered clinical decision-support system to improve ED triage.
| S-EPMC8510323 | biostudies-literature
Project description:ObjectiveDiabetes is a so-called ambulatory care sensitive condition. It is assumed that by appropriate and timely primary care, hospital admissions for complications of such conditions can be avoided. This study examines whether differences between countries in diabetes-related hospitalization rates can be attributed to differences in the organization of primary care in these countries.DesignData on characteristics of primary care systems were obtained from the QUALICOPC study that includes surveys held among general practitioners and their patients in 34 countries. Data on avoidable hospitalizations were obtained from the OECD Health Care Quality Indicator project. Negative binomial regressions were carried out to investigate the association between characteristics of primary care and diabetes-related hospitalizations.SettingA total of 23 countries.SubjectsGeneral practitioners and patients.Main outcome measuresDiabetes-related avoidable hospitalizations.ResultsContinuity of care was associated with lower rates of diabetes-related hospitalization. Broader task profiles for general practitioners and more medical equipment in general practice were associated with higher rates of admissions for uncontrolled diabetes. Countries where patients perceive better access to care had higher rates of hospital admissions for long-term diabetes complications. There was no association between disease management programmes and rates of diabetes-related hospitalization. Hospital bed supply was strongly associated with admission rates for uncontrolled diabetes and long-term complications.ConclusionsCountries with elements of strong primary care do not necessarily have lower rates of diabetes-related hospitalizations. Hospital bed supply appeared to be a very important factor in this relationship. Apparently, it takes more than strong primary care to avoid hospitalizations.Key pointsCountries with elements of strong primary care do not necessarily have lower rates of diabetes-related avoidable hospitalization. Hospital bed supply is strongly associated with admission rates for uncontrolled diabetes and long-term complications. Continuity of care was associated with lower rates of diabetes-related hospitalization. Better access to care, broader task profiles for general practitioners, and more medical equipment in general practice was associated with higher rates of admissions for diabetes.
| S-EPMC4911022 | biostudies-literature